We are a Flatworld Solutions company.
Drug discovery and development are often a decade-long process with low success rates and high financial risks. The cost of bringing one new drug to the market is estimated at $2.7 billion – and with approval rate less than 1-in-10 drugs tested. If R&D is the life-line for pharma companies then data is the jewel.Â
Having data that is consistent, reliable, and well linked is a fundamental requirement to effectively manage, analyze, and gain insights from data to achieve business goals. This is where emerging new Big Data Analytics is driving pharma companies to improve new drug development productivity and efficiency. From consulting to execution, Quadratyx helped top global pharma companies in leverage advancing technologies and address complex regulatory obligations. No matter what the challenge is – we will help keep your business operations moving forward.
Query Execution Time Reduced to
Scalable Solution
Better Collaboration & Compliance
Data availability & ease of access
People Capability Improvement
Agile Reporting System
One of the Colombia’s largest pharma major hold a large database that contains records for different dispensaries in the province – date of dispensing, drug name, dose, patient info, geographic, etc. But their current infrastructure limits their ability to optimally store, integrate & generate insights rapidly from this huge heterogeneous data.
We built data flow pipelines, cohort mart, Data science patient mart to run following solutions:
Manually extracting information from research documents is time consuming and requires many cost-inefficient human hours. Our client, 5th largest independent biotech company in the world, wanted to automate information extraction process for rapid searching and advanced analytics.
The major challenge was that there was no uniformity in the structure, content or style across the clinical trial protocol documents prepared in different parts of the world. Quadratyx designed a solution encompassing:
95%
Accuracy
In extracting data from running text
100%
Regulation Compliant
Access documents and information in real time
Case-Detection
Was significantly Improved
Easy to set-up
Integrated Platform
Setting trial
Site Selection Strategy
Drives Participant Adherence
By reducing delays
Site Feasibility Checks
No. & location of eligible candidates
Lower Trial Cost
Faster & improved recruitment quality
Identifying clinical trial sites that have access to enough patients who meet trial criteria was a huge challenge for our client. This increased operational costs, missed drug development time-lines and raised risk of trial failure. In order to alleviate these pressures, Quadratyx developed a multi-site capacity plan using advanced analytics to analyze site risks and generating action items to mitigate those risks.Â
Using advanced AI and ML algorithms, to compute the following:
In order to achieve expected ROI, a leading US based healthcare product manufacturing company realized the need to rethink their global product launch strategies. Traditional absolute pricing models were no longer yielding expected results and they contacted Quadratyx to assist in building dynamic pricing model.
The goal is to study the existing data and develop a decision making descriptive analytics dashboard using Tableau to get a deeper understanding of their business’s revenue, including
Identify the
Influencing Factors
Business Decisions
Based on a scientific approach for pricing
Positive financial outcome with
Improved Top Line
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